微型电脑应用

随着艺术教育和信息化的发展,在当下音乐学科的教学活动中,越来越多地需要借助计算机技术、多媒体技术来辅助教学,从而培养学生的自主探究能力和钻研能力。研究了基于人工智能的交互式教学音乐智能系统的设计,提出基于RBF算法的音乐学习模式,有助于提升学生的探究能力,同时还可以发挥教师的主导作用。通过教学相长的方式,让学生成为教学的主体,激发学生对音乐学习的热情和学习意识。首先对交互式的教学音乐智能系统的研究现状进行分析,然后论述利用人工智能技术,结合交互式音乐教学方式,建立神经元模型和RBF算法确定音乐学习环节的方式,设计出自主学习平台。进而使该智能系统对于学生的学习音乐知识起到良好的辅助作用,提供更好的教育手段,对于音乐教学的研究具有一定的实际价值和积极意义。

With the development of art education and information technology, in the current music teaching activities, more and more computer technology and multimedia technology are needed to assist teaching, so as to cultivate students' ability of independent inquiry and research. This paper mainly studies the design of interactive teaching music intelligent system based on artificial intelligence, and puts forward a music learning mode based on RBF algorithm, it is conducive to improving students' inquiry ability and playing the leading role of teachers. Through the way of teaching and learning, students become the main body of teaching, stimulate students' enthusiasm and awareness of music learning. First of all, this paper analyzes the research status of interactive teaching music intelligent system, and then discusses the use of artificial intelligence technology. It combines with interactive music teaching methods to establish neuron model and RBF algorithm to determine the way of music learning link, and to design an autonomous learning platform. Thus, the intelligent system for students to learn music knowledge plays a good auxiliary role, provides a better means of education, for the study of music teaching, has a certain practical value and positive significance.